Journal of Jishou University(Natural Sciences Edition)

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Miningmethod of symptoms and disease relationship based on big data in Miao medicine

YANG Bo,HUANG Bin   

  1. (1.Guizhou Normal University,School of Mathematical Sciences,Guizhou Guiyang 550001;2.Guizhou Normal University,School of Big Data and Computer Science,Guizhou Guiyang 550001)
  • Online:2017-11-25 Published:2017-12-29

Abstract:

The lack of Miao characters leads to the lack of efficacy of Miao medicine,so as to affect the development and scientific use of Miao medicine.The Big Data in Miao medicine provides a new way to solve the problem of lack of drug properties.Efficacy of Miao medicine can be found by analyzing the relationship between disease and drug use in medical records.However,because of poor medical technology,some Miao-nationality doctors gave wrong disease when they handled some cases.As wrong disease,it is difficult to mine the efficacy of Miao medicine from the Big Data in Miao medicine.For wrong disease,this paper presents a mining method of Miao medicine symptoms and disease based on distributed k nearest neighbor.In the case of large amount of data,the method has good classification performance and high accuracy.

Key words: Miao medicine, big data, symptom, disease, MapReduce, Hadoop

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